Triple

T33956926
Position Surface form Disambiguated ID Type / Status
Subject NJ 28 E870600 entity
Predicate category P87 FINISHED
Object Transportation in Union County, New Jersey
Transportation in Union County, New Jersey encompasses the network of highways, local roads, rail lines, and public transit services that connect communities within the county and link them to the broader New York metropolitan area.
E2076118 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Transportation in Union County, New Jersey | Statement: [NJ 28, category, Transportation in Union County, New Jersey]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Transportation in Union County, New Jersey
Triple: [NJ 28, category, Transportation in Union County, New Jersey]
Generated description
Transportation in Union County, New Jersey encompasses the network of highways, local roads, rail lines, and public transit services that connect communities within the county and link them to the broader New York metropolitan area.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f3499c2d7481909c953a5010227725 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f702bb685481908ffc799d17206cdf completed May 3, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689e1936c81908bda86bb57edc7cc completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368a5fb37c8190a2576c9cae8dfe19 completed June 20, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_6a368e2e589881909e91cdb35205bc51 completed June 20, 2026, 12:57 p.m.
Created at: May 1, 2026, 1:49 a.m.